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Methods (San Diego, Calif.)|August 8, 2020
Identifying and ranking potential cancer drivers using representation learning on attributed networkWei Peng, Sichen Yi, Wei Dai, et al.
Bioinformatics (Oxford, England)|August 23, 2022
Predicting cancer drug response using parallel heterogeneous graph convolutional networks with neighborhood interactionsWei Peng, Hancheng Liu, Wei Dai, et al.
IEEE Journal of Biomedical and Health Informatics|September 18, 2024
Predicting Clinical Anticancer Drug Response of Patients by Using Domain Alignment and Prototypical LearningWei Peng, Chuyue Chen, Wei Dai, et al.
IEEE Journal of Biomedical and Health Informatics|November 6, 2024
Hierarchical graph representation learning with multi-granularity features for anti-cancer drug response predictionWei Peng, Jiangzhen Lin, Wei Dai, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|January 13, 2021
A Novel Multi-Ensemble Method for Identifying Essential ProteinsWei Dai, Bingxi Chen, Wei Peng, et al.
Proteomics. Clinical Applications|November 21, 2012
Computational approaches to predicting essential proteins: a surveyJianxin Wang, Wei Peng, Fang-Xiang Wu
IEEE Journal of Biomedical and Health Informatics|August 4, 2021
Predicting Drug Response Based on Multi-Omics Fusion and Graph ConvolutionWei Peng, Tielin Chen, Wei Dai
Algorithms for Molecular Biology : AMB|July 3, 2015
Detecting conserved protein complexes using a dividing-and-matching algorithm and unequally lenient criteria for network comparisonWei Peng, Jianxin Wang, Fangxiang Wu, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 11, 2015
Identification of Protein Complexes Using Weighted PageRank-Nibble Algorithm and Core-Attachment StructureWei Peng, Jianxin Wang, Bihai Zhao, et al.
BMC Medical Genomics|January 1, 2020
Identifying driver genes involving gene dysregulated expression, tissue-specific expression and gene-gene networkJunrong Song, Wei Peng, Feng Wang, et al.
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